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The potential for AI to revolutionize conservation: a horizon scan

Reynolds, Sam A.; Beery, Sara; Burgess, Neil; Burgman, Mark; Butchart, Stuart H.M.; Cooke, Steven J.; Coomes, David; Danielsen, Finn; Di Minin, Enrico; Durán, América Paz; Gassert, Francis; Hinsley, Amy; Jaffer, Sadiq; Jones, Julia P.G.; Li, Binbin V.; Mac Aodha, Oisin; Madhavapeddy, Anil; O’Donnell, Stephanie A.L.; Oxbury, William M.; Peck, Lloyd ORCID: https://orcid.org/0000-0003-3479-6791; Pettorelli, Nathalie; Rodriguez, Jon Paul; Shuckburgh, Emily; Strassburg, Bernardo; Yamashita, Hiromi; Miao, Zhongqi; Sutherland, William J.. 2025 The potential for AI to revolutionize conservation: a horizon scan. Trends in Ecology & Evolution, 40 (2), 3384. 191-207. 10.1016/j.tree.2024.11.013

Abstract
Artificial Intelligence (AI) is an emerging tool that could be leveraged to identify the effective conservation solutions demanded by the urgent biodiversity crisis. We present the results of our horizon scan of AI applications likely to significantly benefit biological conservation. An international panel of conservation scientists and AI experts identified 21 key ideas. These included species recognition to uncover 'dark diversity', multimodal models to improve biodiversity loss predictions, monitoring wildlife trade, and addressing human–wildlife conflict. We consider the potential negative impacts of AI adoption, such as AI colonialism and loss of essential conservation skills, and suggest how the conservation field might adapt to harness the benefits of AI while mitigating its risks.
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Programmes:
BAS Programmes 2015 > Biodiversity, Evolution and Adaptation
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